Variable step-size LMS algorithm using regulated least square error criterion

Sin Chun Ng; Chi Chung Cheung; Chi Yin Chung; Shu Hung Leung

doi:10.1049/el:20030113

Variable step-size LMS algorithm using regulated least square error criterion

Sin Chun Ng, Chi Chung Cheung, Chi Yin Chung, Shu Hung Leung

Hong Kong Metropolitan University

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

A new variable step-size algorithm is proposed using an evolutionary approach for the least mean square algorithm. The step-size candidates are evaluated by calculating their square errors, which are composed of a priori and a posteriori errors. The composition of the square error measure is regulated according to different properties of errors. The new algorithm always outperforms other traditional variable step-size methods to provide fast converging and good tracking capability.

Original language	English
Pages (from-to)	160-162
Number of pages	3
Journal	Electronics Letters
Volume	39
Issue number	1
DOIs	https://doi.org/10.1049/el:20030113
Publication status	Published - 9 Jan 2003

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10.1049/el:20030113

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title = "Variable step-size LMS algorithm using regulated least square error criterion",

abstract = "A new variable step-size algorithm is proposed using an evolutionary approach for the least mean square algorithm. The step-size candidates are evaluated by calculating their square errors, which are composed of a priori and a posteriori errors. The composition of the square error measure is regulated according to different properties of errors. The new algorithm always outperforms other traditional variable step-size methods to provide fast converging and good tracking capability.",

author = "Ng, {Sin Chun} and Cheung, {Chi Chung} and Chung, {Chi Yin} and Leung, {Shu Hung}",

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AU - Cheung, Chi Chung

AU - Chung, Chi Yin

AU - Leung, Shu Hung

PY - 2003/1/9

Y1 - 2003/1/9

N2 - A new variable step-size algorithm is proposed using an evolutionary approach for the least mean square algorithm. The step-size candidates are evaluated by calculating their square errors, which are composed of a priori and a posteriori errors. The composition of the square error measure is regulated according to different properties of errors. The new algorithm always outperforms other traditional variable step-size methods to provide fast converging and good tracking capability.

AB - A new variable step-size algorithm is proposed using an evolutionary approach for the least mean square algorithm. The step-size candidates are evaluated by calculating their square errors, which are composed of a priori and a posteriori errors. The composition of the square error measure is regulated according to different properties of errors. The new algorithm always outperforms other traditional variable step-size methods to provide fast converging and good tracking capability.

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DO - 10.1049/el:20030113

M3 - Article

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VL - 39

SP - 160

EP - 162

JO - Electronics Letters

JF - Electronics Letters

IS - 1

ER -

Variable step-size LMS algorithm using regulated least square error criterion

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